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DBMS > Kdb vs. Manticore Search vs. MonetDB vs. Typesense

System Properties Comparison Kdb vs. Manticore Search vs. MonetDB vs. Typesense

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMulti-storage database for search, including full-text search.A relational database management system that stores data in columnsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelTime Series DBMS
Vector DBMS
Search engineRelational DBMSSearch engine
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitekx.commanticoresearch.comwww.monetdb.orgtypesense.org
Technical documentationcode.kx.commanual.manticoresearch.comwww.monetdb.org/­Documentationtypesense.org/­docs
DeveloperKx Systems, a division of First Derivatives plcManticore SoftwareMonetDB BV
Initial release2000 infokdb was released 2000, kdb+ in 2003201720042015
Current release3.6, May 20186.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL version 2Open Source infoMozilla Public License 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++CC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesFixed schemayesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesCan index from XML
Secondary indexesyes infotable attribute 'grouped'yes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like query languageyes infoSQL 2003 with some extensionsno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes, in SQL, C, Rno
Triggersyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental statusMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
KdbManticore SearchMonetDBTypesense
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbManticore SearchMonetDBTypesense
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